Browse entries 1465–1488 of 1531. Return to the first page to search and filter the complete collection.
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Tolan's response latency once drifted from two seconds to about two and a half. That half second tanked essentially every metric in the product, and users wrote in to say their companion had become slow.
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Taste Labs analyzed more than two million websites going back a decade, and the finding that complicates the usual story is that the internet was homogenizing before AI arrived: palettes converging, layouts converging, trends spreading faster than they once did. AI did not start the collapse.
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The instruction Impeccable loads when you type "bolder" ends with a challenge: show someone your work, say AI made this bolder, and if they believe you, you failed. Bakaus has built tools for more than twenty years.
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Why porting a massive codebase from Python to TypeScript was the right move. Mike Krieger, co-lead of Anthropic and founder of Instagram, breaks down the unconventional engineering decision behind this switch.
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Ask a model to sum twelve numbers scattered across thirty thousand tokens and it will often get it wrong. Give it a Python REPL and it writes a few lines of regex instead. That is the shift Kevin Madura, director of advanced technology at AlixPartners, describes in recursive language models.
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Tanmai Gopal plotted the daily edits to his own company brain expecting the usual shape, a burst of enthusiasm followed by neglect. The line kept climbing instead, and it surprised him.
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Gus Iwanaga opens by disowning his own session title, then shows the demo that did not work. His team asked their system for a sales report for Q1 four times over.
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Between the moment an x402 server verifies a payment signature and the moment it settles on the blockchain, nothing stops the buyer spending that money somewhere else.
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The team took captions from real videos, regenerated the same scenes with their own model, and ran a human eval. People largely preferred the generated version. Dumitru Erhan is quick to deflate that result.
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The fiber optic cable carrying data into California's financial fraud system has been cut in half. One end sits on the internet with a laser transmitter. The other end, inside the building, has only a receiver. There is no transmitter pointing outward, so data physically cannot leave.
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Long Lake does not sell software. It buys the company. Thirty five services businesses so far across property management, architecture and HR, plus a 6.3 billion dollar take private of the world's largest corporate travel platform.
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Something went wrong, please try again. Kanish Manuja opens on that message and then explains why it exists, which is more interesting than laziness. Once a response starts streaming you have committed to that provider.
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For a given internal pain point, Brian Lewis might find 10 to 15 startups worth a look, book two or three demos, run zero or one pilot, and sign roughly one contract for every four pilots. That works out to about 5% of demo calls ending in a signature, which turns out to match published benchmarks.
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Between NVIDIA's A100 in 2020 and the B200 in 2024, BF16 tensor core throughput improved 7.2x. Intra node communication improved 3x, and inter node communication only 2x.
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The champion just left. Do not contact this customer again. Blocked in legal. The facts that decide what a rep does next usually sit in someone's meeting notes, and Flora Liu's point is that an automation which cannot read them will eventually do something catastrophically wrong.
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Ask one data vendor for phone numbers across a set of countries and you get about half of them. Hence waterfalling: layer provider on provider until the field is filled, and run evals to know which to trust.
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Offer Pro V1 golf balls to golfers at East Coast construction companies. Arman Vaziri uses that as a running example and mentions in passing that it works really well. The golf balls are not the point.
OECD launches a Global Call for Governing with AI, inviting governments to share AI use cases, policy initiatives, and implementation tools to support trustworthy AI in public administration.
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Got a massive idea but stuck in the "just talking about it" phase? This session cuts the fluff and dives straight into how to build and prototype at lightning speed using AI Studio Build and Antigravity for free.
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Connecting a coding agent to multiple services often means facing a dozen OAuth consent screens, a dozen token lifecycles, and a dozen chances for something to break. Despite having Single Sign-On, users still find themselves signing in repeatedly.
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Most of us are pair-programming with one agent and stopping there. There's a lot more on the table. This workshop is about going from one agent to many. We'll start with codebase setup, the foundational work that makes agents effective on their own.
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Open models are getting smaller, faster, and far more capable. In this talk, Cassidy Hardin walks through the latest advances in the Gemma family, with a focus on Gemma 4 and what it enables for developers building on-device and open-weight AI systems.
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Agentic engineering so far has been a solo story: one developer and a dozen agents moving at warp speed. But speed without thoughtful planning and team alignment is just wasting tokens.
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The best MCP server is the one you didn't have to build. At Cloudflare we have a lot of products. Our REST OpenAPI spec is over 2.3 million tokens.